Coalescing raid commands accessing contiguous data in...

Electrical computers and digital processing systems: memory – Storage accessing and control – Specific memory composition

Reexamination Certificate

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Details

C711S154000, C711S158000, C711S168000, C714S006130

Reexamination Certificate

active

06195727

ABSTRACT:

BACKGROUND OF THE INVENTION
This invention pertains to computer systems and other information handling systems and, more particularly, to a RAID controller for coalescing write-through commands received from a host and temporarily stored in a stash.
RAID Overview
As the performance of microprocessor and semiconductor memory technology increases, there is a need for improved magnetic disk storage technology with comparable performance enhancements. Unfortunately, the performance of newer processor and semiconductor memory technology has out paced that of magnetic disk storage technology. In 1988, however, a paper published by Patterson, Gibson and Katz (“A Case For Redundant Arrays Of Inexpensive Disks (RAID)”; International Conference On Management Of Data; pp. 109-116; June 1988) laid the foundation for the use of a redundant array of inexpensive disks (“RAID”) that would not only significantly improve the data transfer rate and data I/O rate over a comparable single disk access, but would also provide error correcting redundancy and lower cost. In their paper, Patterson, Gibson and Katz described five “levels” of RAID systems, which are briefly described below (RAID-1 through RAID-5). Since that time, other RAID levels have been described, two of which are also briefly described below (RAID-0 and RAID-6).
Most RAID systems incorporate both redundancy and some form of data interleaving, which distributes the data over all the data disks in the array. Redundancy is usually in the form of an error correcting code, with simple parity schemes predominating. However, RAID-1 uses a “mirroring” redundancy scheme in which duplicate copies of the same data are stored on two separate disks in the array. Parity and other error correcting codes are either stored on one or more disks dedicated for that purpose only, or they may be distributed over all the disks in the array. Data interleaving is usually in the form of data “striping” in which the data to be stored is broken down into blocks called “stripe units”, which are then distributed across the data disks. A typical size of a stripe unit is 8K to 64K Bytes. A “stripe” is a group of corresponding stripe units, one stripe unit from each disk in the array. Thus, the “stripe size” is equal to the size of a stripe unit times the number of data disks in the array. Data interleaving may also be accomplished on a bit-by-bit basis, such as is described in more detail below with regards to RAID-3. Six RAID levels will now be described.
RAID-0 utilizes data striping, but does not use redundancy. RAID-0 has a lower cost than any other RAID level, and its write performance is the best because there is no writing of redundant information. The primary disadvantage of RAID-0 is its lack of redundancy. Consequently, any single disk failure in the array results in lost data.
RAID-1 uses mirroring in which identical data is stored on two disks. An advantage of RAID-1 is that it is simple to implement in software. RAID-1 is also error correcting because complete recovey is possible from the failure of any one disk drive by simply switching to the drive that contains the duplicate copy of the data. After replacing the defective drive, the data on the duplicate drive can be recopied to the replacement drive. When servicing two or more requests to read data that is stored on the same disk, RAID-1 has a faster read rate than RAID-0 because one request can be serviced from the first disk, and the second request can be simultaneously serviced by the duplicate disk. A disadvantage of RAID-1 is that it is expensive because it requires two times the number of drives necessary to stored the same data. Thus, its efficiency is always ½. The necessity of making duplicate copies of all data also makes this RAID level somewhat slow to write data.
RAID-2 uses error correcting codes such as those found in error correcting semiconductor memory systems.
RAID-3 uses a separate parity disk to store error correcting parity information and a plurality of data disks that contain bit interleaved data information. Unlike semiconductor memories, a faulty disk drive is usually easily identified because disk drives and their associated controllers typically contain sophisticated error detecting mechanisms that can quickly identify a failed drive. Consequently, if a single data drive has failed, the contents of the failed drive can be easily reconstructed using the information from the “good” data drives plus the parity drive. Conceptually, the reconstruction of a specific bit of a failed drive could be accomplished by calculating the parity of the corresponding bit of each of the “good” drives and then comparing it to the corresponding bit of the parity drive. For example, if the parity of the first bit of each of the “good” drives is a logical 0, and the first bit of the parity drive is a logical 1, then the first bit of the failed drive must have been a logical 1 (because the parity of the first bit of all the data drives must equal logical 1, in this example). Mathematically speaking, the data on the failed disk can be calculated by starting with the parity information from the parity drive and subtracting, modulo two, the corresponding information on the “good” data drives. If, on the other hand, the parity drive fails, parity is easily reconstructed from all the data drives.
For this RAID level, data is bit interleaved on the data disks. For example, a basic RAID-3 system in which data is organized in 8 bit bytes and having 8 data disks and one parity disk would store the first bit of every byte on the first disk, the second bit of every byte on the second disk, on so on. Thus, a write request simultaneously accesses all 8 data disks plus the parity disk, while a read request accesses all 8 data disks. Consequently, the data rate, which is the rate at which data can be written to or read from sequential locations on the disk without head repositioning, is very high for RAID-3. A primary disadvantage of this RAID level is that it only permits one request to be serviced at any one time. RAID-3 systems also have relatively low I/O rates, which is the rate at which data can be written to random locations on the disk, thereby requiring frequent head repositioning.
RAID-4 also uses a separate parity disk to store error correcting parity information and a plurality of data disks that contain interleaved data information. Unlike RAID-3, in which data is bit interleaved across the data disks, RAID-4 uses block interleaving or data striping, which is described in more detail above.
The performance of RAID-4 is particularly dependent on the type of access requested, read or write, and the size of the requested access relative to the size of the stripe unit and the size of the stripe. A request to read a block of data that is contained entirely within one stripe unit can be quickly serviced as soon as the disk drive containing the requested data becomes available. Consequently, multiple requests to read various blocks of data, each of which is entirely contained within one stripe unit on a different data drive, can be serviced simultaneously. In contrast, a RAID-3 system must service multiple requests serially, and if head repositioning is required between the servicing of each request, the performance of a RAID-3 system will be dramatically slower than a RAID-4 system for this type of access. A read operation of stripe size data blocks can also be very fast in RAID-4, particularly if scheduling permits all data disks to be accessed at one time.
A request to write data to a single stripe unit can be a relatively slow process, because it requires four disk accesses. Specifically, a data write to a single stripe unit requires that the old data and corresponding parity information be read from the appropriate data disk and the parity disk. Next, new parity information is computed using the old data, the new data and the old parity. Finally, the new data and the new parity are written to the data and parity disks, respectively. Requests for multiple writes to various stripe units loc

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